» Articles » PMID: 33679541

Who's Leading This Dance?: Theorizing Automatic and Strategic Synchrony in Human-Exoskeleton Interactions

Overview
Journal Front Psychol
Date 2021 Mar 8
PMID 33679541
Citations 5
Authors
Affiliations
Soon will be listed here.
Abstract

Wearable robots are an emerging form of technology that allow organizations to combine the strength, precision, and performance of machines with the flexibility, intelligence, and problem-solving abilities of human wearers. Active exoskeletons are a type of wearable robot that gives wearers the ability to effortlessly lift up to 200 lbs., as well as perform other types of physically demanding tasks that would be too strenuous for most humans. Synchronization between exoskeleton suits and wearers is one of the most challenging requirements to operate these technologies effectively. In this conceptual paper, we extend interpersonal adaption theory (IAT) to the exoskeleton context and explicate (a) the antecedents that are most likely to shape synchrony in human-exoskeleton interactions, (b) automatic and strategic synchrony as adaptive behaviors in human-exoskeleton interactions, and (c) outcome variables that are especially important in these processes. Lastly, we offer a discussion of key methodological challenges for measuring synchrony in human-exoskeleton interactions and offer a future research agenda for this important area.

Citing Articles

Evaluating the Performance of Joint Angle Estimation Algorithms on an Exoskeleton Mock-Up via a Modular Testing Approach.

Pollard R, Bass S, Schall Jr M, Zabala M Sensors (Basel). 2024; 24(17).

PMID: 39275584 PMC: 11397979. DOI: 10.3390/s24175673.


Gait variability of outdoor vs treadmill walking with bilateral robotic ankle exoskeletons under proportional myoelectric control.

Hybart R, Ferris D PLoS One. 2023; 18(11):e0294241.

PMID: 37956157 PMC: 10642814. DOI: 10.1371/journal.pone.0294241.


Sensemaking, adaptation and agency in human-exoskeleton synchrony.

Wilkenfeld J, Kim S, Upasani S, Kirkwood G, Dunbar N, Srinivasan D Front Robot AI. 2023; 10:1207052.

PMID: 37901167 PMC: 10602643. DOI: 10.3389/frobt.2023.1207052.


Passive Exoskeleton with Gait-Based Knee Joint Support for Individuals with Cerebral Palsy.

Kennard M, Kadone H, Shimizu Y, Suzuki K Sensors (Basel). 2022; 22(22).

PMID: 36433532 PMC: 9699336. DOI: 10.3390/s22228935.


Resonance as a Design Strategy for AI and Social Robots.

Lomas J, Lin A, Dikker S, Forster D, Lupetti M, Huisman G Front Neurorobot. 2022; 16:850489.

PMID: 35574227 PMC: 9097027. DOI: 10.3389/fnbot.2022.850489.

References
1.
Gable S . Approach and avoidance social motives and goals. J Pers. 2006; 74(1):175-222. DOI: 10.1111/j.1467-6494.2005.00373.x. View

2.
Fisher D, Bell S, Dierdorff E, Belohlav J . Facet personality and surface-level diversity as team mental model antecedents: implications for implicit coordination. J Appl Psychol. 2012; 97(4):825-41. DOI: 10.1037/a0027851. View

3.
Knight J, Baber C . A tool to assess the comfort of wearable computers. Hum Factors. 2005; 47(1):77-91. DOI: 10.1518/0018720053653875. View

4.
Condon W, OGSTON W . Sound film analysis of normal and pathological behavior patterns. J Nerv Ment Dis. 1966; 143(4):338-47. DOI: 10.1097/00005053-196610000-00005. View

5.
Mahon P . A critical ethnographic look at paediatric intensive care nurses and the determinants of nurses' job satisfaction. Intensive Crit Care Nurs. 2013; 30(1):45-53. DOI: 10.1016/j.iccn.2013.08.002. View